Big numbers about AI are easy to find and hard to use. This one is different, because it comes with a map of where the value actually sits.
The finding
McKinsey estimates that generative AI could add between $2.6 trillion and $4.4 trillion in value every year.
The more useful part is where that value comes from. About 75% of it sits in four functions:
- Customer operations
- Marketing and sales
- Software engineering
- Research and development
That is a map, not just a headline. It tells you where to look first.
What it means for small teams
You do not need a research lab to benefit. Two of the four areas sit at the heart of almost every small business: looking after customers, and finding new ones.
Customer operations means answering questions, handling orders, following up and fixing problems. Marketing and sales means getting your name out, replying to enquiries and not letting leads go cold. These are exactly the jobs that eat a small team’s week.
So start where the value is concentrated. One well-built agent for support or lead follow-up usually does more for a small business than a scattered set of tools, because it works on the tasks that repeat every single day.
An estimate for the whole economy says nothing about your business on its own. What matters is whether the hours come back to you, and that is something you can measure within weeks.
What it means for larger companies
For larger organisations, the four areas work as a way to prioritise: where to fund pilots, where to build shared foundations and where to expect returns first.
The foundations matter. Customer operations and marketing depend on accurate, connected knowledge about products, pricing, policies and customer history. Software engineering and R&D depend on good documentation and data. Knowledge graphs across departments turn that information into something agents can use safely.
And an estimate is not a result. The value only appears when AI is built into real workflows, with clear owners, approval steps and honest measurement.
How we apply it
A free efficiency audit first. We map your processes against these four areas and find where AI saves the most time in your business, not in an average one.
Then we build where it counts. Support and voice agents for customer operations. Sales, lead and marketing agents for growth. Research agents that keep an eye on your market and report every week.
Connected knowledge for larger teams. We link departments through a private knowledge graph inside your systems, with access control and audit logs. Your data never trains public AI models.
Value in your numbers. Every project includes an ROI dashboard with hours saved, cost per task and accuracy, every week. If it doesn’t help within 20 days of launch, you get your money back.
Tell us how your business runs. We’ll show you where AI saves the most time.